UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate ModelsSource: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003Author:Yu, Shuang
,
Chakraborty, Indrasis
,
Anderson, Gemma J.
,
Lucas, Donald D.
,
Lops, Yannic
,
Galea, Daniel
DOI: 10.1175/AIES-D-23-0076.1Publisher: American Meteorological Society
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| contributor author | Yu, Shuang | |
| contributor author | Chakraborty, Indrasis | |
| contributor author | Anderson, Gemma J. | |
| contributor author | Lucas, Donald D. | |
| contributor author | Lops, Yannic | |
| contributor author | Galea, Daniel | |
| date accessioned | 2024-12-24T13:44:00Z | |
| date available | 2024-12-24T13:44:00Z | |
| date copyright | 01 Jul. 2024 | |
| date issued | 2024 | |
| identifier other | aies-AIES-D-23-0076.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299512 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 3 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-23-0076.1 | |
| journal lastpage | e230076 | |
| tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003 | |
| contenttype | Fulltext |